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Author (up) Moenning, Carsten; Dodgson, Neil A. url  isbn
openurl 
  Title A New Point Cloud Simplification Algorithm Type Conference Article
  Year 2003 Publication Visualization, Imaging, and Image Processing 2003 Abbreviated Journal  
  Volume 2 Issue Pages 1027-1033  
  Keywords Point cloud simplification; farthest point sampling; Fast Marching  
  Abstract We present a new technique for the simplification of point sampled geometry without any prior surface reconstruc tion. Using Fast Marching farthest point sampling for im plicit surfaces and point clouds [1], we devise a coarse-to-fine uniform or feature-sensitive simplification algorithm with user-controlled density guarantee. The algorithm is computationally and memory efficient, easy to implement and inherently allows for the generation of progressive and multiresolution representations of the input point set.  
  Address  
  Corporate Author Thesis  
  Publisher ACTA Press Place of Publication Benalmádena, Spain Editor Hamza, Mohamed H.  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1482-7921 ISBN 0-88986-382-2 Medium  
  Area Expedition Conference 3rd IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP) 8-10 Sep 2003, Benalmádena, Spain  
  Notes Approved yes  
  Call Number UCF @ kdamkjer @ Moenning_2003 Serial 77  
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